Check computer science papers: citations, claims and retractions

Apache Mesos

Frampton, M. (2018) · Complete Guide to Open Source Big Data Stack

Cloud Computing and Resource ManagementDistributed and Parallel Computing Systems

Cited by 7

Malacopula: adversarial automatic speaker verification attacks using a neural-based generalised Hammerstein model

Todisco, M., Panariello, M., Wang, X., Delgado, H., Lee, K. A., & Evans, N. (2024) · The Automatic Speaker Verification Spoofing Countermeasures Workshop (ASVspoof 2024)

Speech Recognition and SynthesisAdversarial Robustness in Machine Learning

Cited by 7

Measuring Social Norms of Large Language Models

Yuan, Y., Tang, K., Shen, J., Zhang, M., & Wang, C. (2024) · Findings of the Association for Computational Linguistics: NAACL 2024

Topic ModelingMultimodal Machine Learning Applications

Cited by 7

AHJL at Qur’an QA 2023 Shared Task: Enhancing Passage Retrieval using Sentence Transformer and Translation

Alawwad, H., Alawwad, L., Alharbi, J., & Alharbi, A. (2023) · Proceedings of ArabicNLP 2023

Topic ModelingInformation Retrieval and Search Behavior

Cited by 7

EXTRACT: Strong Examples from Weakly-Labeled Sensor Data

Blalock, D. W., & Guttag, J. V. (2016) · 2016 IEEE 16th International Conference on Data Mining (ICDM)

Time Series Analysis and ForecastingContext-Aware Activity Recognition Systems

Cited by 7

Scaling Computer-Use Grounding via User Interface Decomposition and Synthesis

Xie, T., Deng, J., Li, X., Yang, J., Wu, H., Chen, J., Hu, W., Wang, X., Xu, Y., Wang, Z., et al. (2025) · arXiv

Multimodal Machine Learning ApplicationsSpeech and dialogue systems

Cited by 7

Social participation as an ethical criterion for AI governance in public administration

De Carvalho, L. L., Buchbinder, F., Da Hora, D. A. B., Ferreira, V. B., & De Carvalho, D. M. (2026) · AI and Ethics

Ethics and Social Impacts of AIE-Government and Public Services

Cited by 7

Analytics for Tracking Student Engagement

Gardner, C., Jones, A., & Jefferis, H. (2020) · Journal of Interactive Media in Education

Online Learning and AnalyticsIntelligent Tutoring Systems and Adaptive Learning

Cited by 7

Evaluating a Peer Assessment Approach in Introductory Programming Courses

Al-Khalifa, A., & Devlin, M. (2020) · United Kingdom & Ireland Computing Education Research conference.

Teaching and Learning ProgrammingStudent Assessment and Feedback

Cited by 7

Multisample Flow Matching: Straightening Flows with Minibatch Couplings

Pooladian, A.-A., Ben-Hamu, H., Domingo-Enrich, C., Amos, B., Lipman, Y., & Chen, R. T. Q. (2023) · arXiv

Generative Adversarial Networks and Image SynthesisModel Reduction and Neural Networks

Cited by 7

Weighted Ensemble Self-Supervised Learning

Ruan, Y., Singh, S., Morningstar, W., Alemi, A. A., Ioffe, S., Fischer, I., & Dillon, J. V. (2022) · arXiv

Domain Adaptation and Few-Shot LearningAdvanced Neural Network Applications

Cited by 7

An Anomaly Detection and Explainability Framework using Convolutional Autoencoders for Data Storage Systems

Assaf, R., Giurgiu, I., Pfefferle, J., Monney, S., Pozidis, H., & Schumann, A. (2020) · Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence

Anomaly Detection Techniques and ApplicationsSoftware System Performance and Reliability

Cited by 7

Decentralized token economy theory (DeTEcT): token pricing, stability and governance for token economies

Sadykhov, R., Goodell, G., De Montigny, D., Schoernig, M., & Treleaven, P. (2023) · Frontiers in Blockchain

Blockchain Technology Applications and SecurityComplex Systems and Time Series Analysis

Cited by 7

Current challenges in spoken dialogue systems and why they are critical for those living with dementia

Addlesee, A., Eshghi, A., & Konstas, I. (2019) · arXiv

Speech and dialogue systemsSocial Robot Interaction and HRI

Cited by 7

Is your anomaly detector ready for change? Adapting aiops solutions to the real world

Poenaru-Olaru, L., Karpova, N., Cruz, L., Rellermeyer, J. S., & van Deursen, A. (2024) · Proceedings of the IEEE/ACM 3rd International Conference on AI Engineering - Software Engineering for AI

Software System Performance and ReliabilityAnomaly Detection Techniques and Applications

Cited by 7

SkillAR: omnipresent in-situ feedback for motor skill training using AR

Diller, F., Henkel, N., Scheuermann, G., & Wiebel, A. (2025) · Virtual Reality

Augmented Reality ApplicationsVirtual Reality Applications and Impacts

Cited by 7

Navigating the AI frontier: ethical considerations and best practices in microbial genomics research

Page, A. J., Tumelty, N. M., & Sheppard, S. K. (2023) · Microbial Genomics

Ethics and Social Impacts of AILaw, AI, and Intellectual Property

Cited by 7

SELF-[IN]CORRECT: LLMs Struggle with Discriminating Self-Generated Responses

Jiang, D., Zhang, J., Weller, O., Weir, N., Van Durme, B., & Khashabi, D. (2025) · Proceedings of the AAAI Conference on Artificial Intelligence

Topic ModelingNatural Language Processing Techniques

Cited by 7

Is the edge really necessary for drone computing offloading? An experimental assessment in carrier‐grade 5G operator networks

Candal‐Ventureira, D., González‐Castaño, F. J., Gil‐Castiñeira, F., & Fondo‐Ferreiro, P. (2023) · Software: Practice and Experience

IoT and Edge/Fog ComputingUAV Applications and Optimization

Cited by 7

A Trace-Log-Clusterings-Based Fault Localization Approach to Microservice Systems

Sun, C.-A., Zeng, T., Zuo, W., & Liu, H. (2023) · 2023 IEEE International Conference on Web Services (ICWS)

Software System Performance and ReliabilitySoftware Testing and Debugging Techniques

Cited by 7

Extent of use of artificial intelligence & machine learning protocols in cancer diagnosis: A scoping review

Dang, A., Dang, D., & Vallish, B. N. (2023) · Indian Journal of Medical Research

AI in cancer detectionArtificial Intelligence in Healthcare and Education

Cited by 7

Efficient levels of spatial pyramid representation for local binary patterns

Akoushideh, A., & Mazloom‐Nezhad Maybodi, B. (2015) · IET Computer Vision

Image Retrieval and Classification TechniquesRadiomics and Machine Learning in Medical Imaging

Cited by 7

What do participants expect to experience in the rubber hand illusion? A conceptual replication of Lush (2020)

Reader, A. T. (2021)

Virtual Reality Applications and ImpactsMultisensory perception and integration

Cited by 7

What Is Your AI Agent Buying? Evaluation, Biases, Model Dependence, & Emerging Implications of Agentic E-Commerce

Allouah, A., Besbes, O., Figueroa, J. D., Kanoria, Y., & Kumar, A. (2026) · Proceedings of the ACM Web Conference 2026

Information Retrieval and Search BehaviorConsumer Market Behavior and Pricing

Cited by 7